CRAN/E | OncoBayes2

OncoBayes2

Bayesian Logistic Regression for Oncology Dose-Escalation Trials

Installation

About

Bayesian logistic regression model with optional EXchangeability-NonEXchangeability parameter modelling for flexible borrowing from historical or concurrent data-sources. The safety model can guide dose-escalation decisions for adaptive oncology Phase I dose-escalation trials which involve an arbitrary number of drugs. Please refer to Neuenschwander et al. (2008) doi:10.1002/sim.3230 and Neuenschwander et al. (2016) doi:10.1080/19466315.2016.1174149 for details on the methodology.

System requirements GNU make, pandoc (>= 1.12.3), pandoc-citeproc, C++17

Key Metrics

Version 0.8-9
R ≥ 3.5.0
Published 2023-07-20 283 days ago
Needs compilation? yes
License GPL (≥ 3)
CRAN checks OncoBayes2 results

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Maintainer

Maintainer

Sebastian Weber

sebastian.weber@novartis.com

Authors

Novartis Pharma AG

cph

Sebastian Weber

aut / cre

Lukas A. Widmer

aut

Andrew Bean

aut

Trustees of Columbia University

cph

(R/stanmodels.R, configure, configure.win)

Material

NEWS
Reference manual
Package source

Additional repos

mc-stan.org/r-packages/

Vignettes

Guiding Oncology Dose-Escalation Trials

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

OncoBayes2 archive

Depends

R ≥ 3.5.0

Imports

methods
Rcpp ≥ 0.12.0
RcppParallel ≥ 5.0.1
rstan ≥2.19.3
rstantools ≥ 2.3.1
posterior ≥ 1.4.0
assertthat ≥ 0.2.1
checkmate
Formula
bayesplot ≥1.4.0
ggplot2 ≥ 2.2.1
dplyr ≥ 0.8.0
tibble
tidyr ≥1.0.0
abind
scales
rlang ≥ 0.3.0
tidyselect
utils
stats
matrixStats

Suggests

rmarkdown
knitr
testthat ≥ 2.0.0
mvtnorm
vdiffr
cmdstanr ≥ 0.4.0

LinkingTo

BH ≥ 1.72.0
Rcpp ≥ 0.12.0
RcppEigen ≥ 0.3.3.3.0
RcppParallel ≥ 5.0.1
rstan ≥ 2.19.3
StanHeaders ≥2.19.0